{"id":"W4205543965","doi":"10.2196/30863","title":"Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vital signs; Wearable computer; Metronome; Respiratory rate; Medicine; Wearable technology; Bland–Altman plot; Continuous monitoring; Heart rate; Concurrent validity; Physical medicine and rehabilitation; Physical therapy; Limits of agreement; Computer science; Surgery; Blood pressure; Internal medicine; Engineering; Nuclear medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009957578,0.001041035,0.0006192934,0.0005823091,0.0004803478,0.0005335748,0.000853575,0.0009705834,0.0008759988],"category_scores_gemma":[0.01289823,0.0003313532,0.0007688298,0.0004924135,0.001206756,0.0006065441,0.0007998575,0.0004789686,0.0005045122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239007,"about_ca_system_score_gemma":0.0009042636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068806,"about_ca_topic_score_gemma":0.001096311,"domain_scores_codex":[0.9943401,0.003123468,0.000502527,0.0007432507,0.001034097,0.0002565768],"domain_scores_gemma":[0.9871504,0.005521865,0.001660056,0.002088336,0.003019293,0.0005600379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01304313,0.01455025,0.8586622,0.0009264358,0.0009666266,0.0006936893,0.004209722,0.002455278,0.03418845,0.0003312063,0.0008308532,0.06914218],"study_design_scores_gemma":[0.001819799,0.0919905,0.8738585,0.000247726,0.0009398357,0.002544319,0.001362569,0.008592675,0.01356538,0.0002776173,0.004703993,0.00009708439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930982,0.0002304714,0.005211156,0.00001678889,0.00001957515,0.0007944874,0.0001757563,0.00002153006,0.0004321195],"genre_scores_gemma":[0.9917435,0.000214209,0.005455928,0.00007534029,0.00003807748,0.001142771,0.001020142,0.0000135087,0.0002966683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009957578,"threshold_uncertainty_score":0.05266136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215102593399126,"score_gpt":0.3167884724249595,"score_spread":0.2846374464909682,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}